Dr. Sigbert Klinke

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Zusammenfassung

Dr. Sigbert Klinke entwickelt Methoden und Werkzeuge für die statistischen Lehre und Datenanalyse, insbesondere für hochdimensionale Daten. Seine Expertise umfasst interaktive Visualisierungstechniken, explorative Datenanalyse und die didaktische Vermittlung statistischer Konzepte durch digitale Lernplattformen und dynamische Grafiken.

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Name

Dr. Sigbert Klinke

Titel

Dr.

Fakultät

Wirtschaftswissenschaftliche Fakultät

Institut

Statistik

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HU-FIS-Profil

Quelle ↗

Zuletzt gescrapt

27.6.2026, 01:08:56

• Förderung statistischer Lehr- und Lernprozesse in Großveranstaltungen mittels eines Flipped-Classroom-Designs

  Quelle ↗

  Förderer: Bundesministerium für Forschung, Technologie und Raumfahrt Zeitraum: 01/2017 - 12/2019 Projektleitung: Dr. Sigbert Klinke

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• Projection Pursuit for Exploratory Supervised Classification

  2005

  Journal of Computational and Graphical Statistics · 88 Zitationen · DOI

  In high-dimensional data, one often seeks a few interesting low-dimensional projections that reveal important features of the data. Projection pursuit is a procedure for searching high-dimensional data for interesting low-dimensional projections via the optimization of a criterion function called the projection pursuit index.

• XploRe — Learning Guide

  1999

  75 Zitationen · DOI

• XploRe: An Interactive Statistical Computing Environment

  1997

  Technometrics · 62 Zitationen · DOI

  This book describes an interactive statistical computing environment called 1 XploRe. As the name suggests, support for exploratory statistical analysis is given by a variety of computational tools. XploRe is a matrix-oriented statistical language with a comprehensive set of basic statistical operations that provides highly interactive graphics, as well as a programming environ­ ment for user-written macros; it offers hard-wired smoothing procedures for effective high-dimensional data analysis. Its highly dynamic graphic capa­ bilities make it possible to construct student-level front ends for teaching basic elements of statistics. Hot keys make it an easy-to-use computing environment for statistical analysis. The primary objective of this book is to show how the XploRe system can be used as an effective computing environment for a large number of statistical tasks. The computing tasks we consider range from basic data matrix manipulations to interactive customizing of graphs and dynamic fit­ ting of high-dimensional statistical models. The XploRe language is similar to other statistical languages and offers an interactive help system that can be extended to user-written algorithms. The language is intuitive and read­ ers with access to other systems can, without major difficulty, reproduce the examples presented here and use them as a basis for further investigation.

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